Methods to ensure the reproducibility of biomedical research

Konrad J. Karczewski, Nicholas P. Tatonetti, Arjun K. Manrai, Chirag J. Patel, Charles Brown, John P.A. Ioannidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Science is not done in a vacuum – across fields of biomedicine, scientists have built on previous research and used data published in previous papers. A mainstay of scientific inquiry is the publication of one’s research and recognition for this work is given in the form of citations and notoriety--ideally given in proportion to the quality of the work. Academic incentives, however, may encourage individual researchers to prioritize career ambitions over scientific truth. Recently, the New England Journal of Medicine published a commentary calling scientists who repurpose data “research parasites” who misuse data generated by others to demonstrate alternative hypotheses1. In our opinion, the concept of data hoarding not only runs contrary to the spirit of, but also hinders scientific progress. Scientific research is meant to seek objective truth, rather than promote a personal agenda, and the only way to do so is through maximum transparency and reproducibility, no matter who is using the data.

Original languageEnglish (US)
Title of host publicationPACIFIC SYMPOSIUM ON BIOCOMPUTING 2017
PublisherWorld Scientific Publishing Co. Pte Ltd
Number of pages3
ISBN (Print)9789813207813
StatePublished - Jan 1 2017
Event22nd Pacific Symposium on Biocomputing, PSB 2017 - Kohala Coast, United States
Duration: Jan 4 2017Jan 8 2017


Other22nd Pacific Symposium on Biocomputing, PSB 2017
Country/TerritoryUnited States
CityKohala Coast

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics


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